Update README.md

README.md

@@ -14,7 +14,7 @@ HyperCLOVAX-SEED-Vision-Instruct-3B is a model developed by NAVER, built upon it
 
 The model is primarily designed with a focus on lightweight architecture, optimizing computational efficiency. In terms of visual understanding, it can handle visual question answering (VQA), chart and diagram interpretation, and even comprehend content. HyperCLOVAX-SEED-Vision-Instruct-3B aims for a Pareto-optimal balance specifically tuned for the Korean language, and it demonstrates competitive performance using fewer visual tokens compared to other models of similar size in inference scenarios.
 
-Particularly, the model shows relative strengths in handling Korean-language inputs and outperforms similarly sized open-source models in related benchmarks. As the first open-source vision-language model in Korea capable of visual understanding, it holds significant value.
+Particularly, the model shows relative strengths in handling Korean-language inputs and outperforms similarly sized open-source models in related benchmarks. As the first open-source vision-language model in Korea capable of visual understanding, it is expected to significantly contribute to strengthening Korea's sovereign AI capabilities.
 
 
 ## **Basic Information**